activity
20202026
most citedExperimental quantification of unsteady leading-edge flow separation

9 citations · 13 across the 5 of their papers we have counts for

collaborators

6 papers

cs.GR2026

Semi-Implicit Pairwise Descent for Nonlocal Continuum Mechanics

Xukun Luo, Xiao Cheng, Yuzhong Guo +3

We propose Semi-Implicit Pairwise Descent (SIPD), a unified nonlocal pairwise framework for simulating large-scale hyperelastic materials involving complex contact and friction. By…

cs.GR2026

Projective Affine Body Dynamics for Multibody Systems

Zimeng Ye, Xiaowei He, Yuzhong Guo +3

Multibody systems have widespread applications in diverse fields such as robotics, entertainment, and animation. Their capability to model and simulate intricate interactions among…

physics.flu-dyn2026

Hydrodynamic loads and vortex evolution from a bio-inspired pectoral fin near a solid body

Xiaowei He, Kenneth Breuer

A fin-body configuration is tested in a water tunnel to study the hydrodynamic loads and vortex evolution under dynamic fin-flapping motions, which is an idealized approximation of…

cs.GR2024★ 1 cited

Efficient GPU Cloth Simulation with Non-distance Barriers and Subspace Reuse

Lei Lan, Zixuan Lu, Jingyi Long +6

This paper pushes the performance of cloth simulation, making the simulation interactive even for high-resolution garment models while keeping every triangle untangled. The penetra…

physics.flu-dyn2021★ 9 cited

Experimental quantification of unsteady leading-edge flow separation

Julien Deparday, Xiaowei He, Jeff D. Eldredge +2

We propose here a method to experimentally quantify unsteady leading-edge flow separation on aerofoils with finite thickness. The methodology relies on the computation of a leading…

cs.GR2020★ 3 cited

A Variational Staggered Particle Framework for Incompressible Free-Surface Flows

Xiaowei He, Huamin Wang, Guoping Wang +2

Smoothed particle hydrodynamics (SPH) has been extensively studied in computer graphics to animate fluids with versatile effects. However, SPH still suffers from two numerical diff…